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DsDs : Data Store Driven Scheduling of Applications For Energy-Efficient and High-Performance Micro-Clouds System
| Content Provider | Semantic Scholar |
|---|---|
| Author | Tena, Frezewd Lemma Fetzer, Christof |
| Copyright Year | 2017 |
| Abstract | In this work, we present a data store driven scheduling algorithm(DsDs) that colocates applications and data in a special micro-cloud system. Underlying this micro-cloud system is an energy-efficient, consistent-hash based key/value store based on the Apache Cassandra [1] distributed data store. The objective of the proposed scheduling algorithm is to improve the energy and performance efficiency of the whole system. It bases its application placement decisions on the store’s perspective. The experiments performed using a PlanetLab real world trace and a CloudSim simulation show that DsDs can improve energy saving by more than 20% on top of the the store’s saving and without significantly affecting its performance. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://storageconference.us/2017/Papers/DataStoreDrivenScheduling.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
